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Models / Confucius4-R2T2
GPU memory needed (smallest version of each): Confucius4-R2T2 ~2.04B about 6.9 GB. The cheapest runs on RTX 3060 from $0.09/h right now.
1 model (~2.04B) · ↓ 55.4K downloads a month · from $0.09/h on RTX 3060 right now. Each model's versions do the same job; quantized ones (AWQ, FP8, 4-bit) need less GPU memory and run on cheaper machines.
| Version | Runtime | Weights | GPU memory | Cheapest machine now |
|---|---|---|---|---|
| Originalnetease-youdao/Confucius4-R2T2 | vLLM | 4.1 GB | 6.9 GB | $0.09/h RTX 3060 |
Model details come from Hugging Face and are refreshed daily; prices follow the live offers. GPU memory is GridPup's estimate: the weights, room for an 8,192-token conversation (chat models) and the runtime's own memory. Large models are split across the GPUs of one machine ("4x RTX 4090").